Question

9.) the line of regression of y on x and the line of regression of x on y L (A) sometimes do not intersect (B) sometimes intersect (C) always intersect (D) intersect at origin only​

Answer 1

Explanation:

The Pearson correlation coefficient of x and y is the same, whether you compute pearson(x, y) or pearson(y, x). This suggests that doing a linear regression of y given x or x given y should be the same, but that's the case

Answer 2

Answer:

A linear regression line has an equation of the form Y = a + bX, where X is the explanatory variable and Y is the dependent variable. The slope of the line is b, and a is the intercept (the value of y when x = 0).

Explanation:

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